Core Technologies

Multiple channels work in coordination, complementing each other to ensure full coverage and high stability in large-format inspection.

Seamless stitching across multiple camera positions guarantees continuous and complete inspection, enabling fine detection of large areas.

Advanced lenses and sensors capture dot-level details, revealing defects invisible to the human eye.

Customized optical paths and imaging solutions tailored to different substrates and printing processes for optimized inspection results.

Independently developed over three years, the P9 light source solves imaging challenges for special substrates, enhancing defect detection and closed-loop quality management.

Pixel-by-pixel comparison between printed samples and digital files ensures perfect alignment with the original design.

Supports precise inspection of critical process parameters such as dimensions, registration, and margins to guarantee compliance.

Rapidly identifies and locks onto inspection areas, improving detection efficiency and positioning accuracy.

Ensures correct output of serial numbers, anti-counterfeit codes, and other variable data to meet high-standard industry requirements.

Automatically identifies missing prints, misalignments, smudges, and scratches, ensuring flawless appearance and functionality.

Supports detection of watermarks, invisible codes, fluorescent inks, and other security features, enhancing anti-counterfeiting levels.

Multi-dimensional feature analysis identifies complex patterns and subtle differences, boosting detection accuracy.

Provides real-time display of inspection processes and results, enabling operators to make quick assessments and decisions.

Flexible functional modules can be configured to meet diverse production line requirements, enabling rapid adaptation and expansion.

Accumulates historical inspection data, supporting traceability, statistical analysis, and production optimization.

Connects inspection equipment for remote monitoring, centralized scheduling, and production collaboration.

Automatically generates optimized models based on inspection data and scenarios, continuously enhancing detection performance.

Continuously optimizes inspection parameters through data training, enabling self-adaptive and continuously improving systems.

Leverages neural networks to recognize complex print defects, achieving high-precision classification and detection across diverse scenarios.